yanchaoz's Stars
facebookresearch/segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
facebookresearch/hiera
Hiera: A fast, powerful, and simple hierarchical vision transformer.
NVlabs/MambaVision
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
frank-xwang/UnSAM
[NeurIPS 2024] Code release for "Segment Anything without Supervision"
Lupin1998/Awesome-MIM
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
uni-medical/STU-Net
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.
lxtGH/CAE
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
dengxl0520/MemSAM
[CVPR 2024 Oral] MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation.
cvlab-stonybrook/SelfMedMAE
Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
zubair-irshad/NeRF-MAE
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
HenriquesLab/DL4MicEverywhere
Bringing the ZeroCostDL4Mic experience running everywhere via easy-to-install docker images
AdaptiveMotorControlLab/CellSeg3D
A napari plugin for direct 3D cell segmentation -- taking you through training, inference, and review of masks
mit-han-lab/sparsevit
[CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
alexandre-eymael/CropMAE
[ECCV 2024] PyTorch implementation of CropMAE, introduced in "Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders"
vgthengane/Awesome-Mamba-in-Vision
List of papers related to State Space Models (Mamba) in Vision.
recursionpharma/maes_microscopy
Official repo for Recursion's accepted spotlight paper at NeurIPS 2023 Generative AI & Biology workshop.
Westlake-AI/A2MIM
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
bowang-lab/MAESTER
Masked Autoencoder Guided Segmentation at Pixel Resolution
Jianningli/SparseCNN
Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution
MedICL-VU/PRISM
[MICCAI 2024 Spotlight, Early Acceptance] PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
MI2DataLab/SwinSMT
Code snippets for "Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation"
janelia-cellmap/cellmap-models
Repository of model architectures and network weights used for CellMap segmentations.
ricklisz/AnatoMask
[ECCV2024] AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking. Official Pytorch Implementation of AnatoMask.
panzhiyi/CC4S
CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation
yanchaoz/SegNeuron
Official implementation, datasets and trained models of "SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model"